Metrological Identification of Deterministic Failure Regimes in Large Language Models Operating Under Critical Conditions

This portfolio presents a metrologically-grounded framework for evaluating Large Language Models, focusing on deterministic failure modes and critical operational regimes. It implements a three-level evaluation—Execution, Processing, and Dynamic-Systemic—using falsifiable, traceable, and reproducible metrics. Applications include AI safety, robustness, bias detection, human-AI communication, and audit-ready compliance, establishing a rigorous standard for operational evaluation of AI systems.